Copertina

Directed Greybox Fuzzing via Large Language Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Hanxiang, Zhao, Yanjie, Wang, Haoyu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
di: Shi, Wenxuan, et al.
Pubblicazione: (2024)

LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
di: Zhang, Hongxiang, et al.
Pubblicazione: (2024)

APFuzz: Towards Automatic Greybox Protocol Fuzzing
di: Wang, Yu, et al.
Pubblicazione: (2026)

Multi-target Coverage-based Greybox Fuzzing
di: Ichikawa, Masami
Pubblicazione: (2026)

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
di: Zhao, Yukai, et al.
Pubblicazione: (2026)

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
di: Xu, Hanxiang, et al.
Pubblicazione: (2024)

QUIC-Fuzz: An Effective Greybox Fuzzer For The QUIC Protocol
di: Ang, Kian Kai, et al.
Pubblicazione: (2025)

Large Language Models for Cyber Security: A Systematic Literature Review
di: Xu, Hanxiang, et al.
Pubblicazione: (2024)

SoK: Understanding Vulnerabilities in the Large Language Model Supply Chain
di: Wang, Shenao, et al.
Pubblicazione: (2025)

MulCovFuzz: A Multi-Component Coverage-Guided Greybox Fuzzer for 5G Protocol Testing
di: Wang, Yu, et al.
Pubblicazione: (2026)

Evaluating and Enhancing the Vulnerability Reasoning Capabilities of Large Language Models
di: Lu, Li, et al.
Pubblicazione: (2026)

Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
di: Zhang, Yifan, et al.
Pubblicazione: (2025)

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
di: Wu, Jiangrong, et al.
Pubblicazione: (2026)

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
di: Hou, Xinyi, et al.
Pubblicazione: (2025)

Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
di: Feng, Xiaotao, et al.
Pubblicazione: (2025)

ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model
di: Wang, Dawei, et al.
Pubblicazione: (2024)

G-Fuzz: A Directed Fuzzing Framework for gVisor
di: Li, Yuwei, et al.
Pubblicazione: (2024)

HyperGo: Probability-based Directed Hybrid Fuzzing
di: Lin, Peihong, et al.
Pubblicazione: (2023)

ChatHTTPFuzz: Large Language Model-Assisted IoT HTTP Fuzzing
di: Yang, Zhe, et al.
Pubblicazione: (2024)

Hybrid Approach to Directed Fuzzing
di: Parygina, Darya, et al.
Pubblicazione: (2025)

FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models
di: Yao, Dongyu, et al.
Pubblicazione: (2023)

LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing
di: Parygina, Darya, et al.
Pubblicazione: (2024)

Seeing is (Not) Believing: Practical Phishing Attacks Targeting Social Media Sharing Cards
di: Huang, Wangchenlu, et al.
Pubblicazione: (2024)

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
di: Shou, Chaofan, et al.
Pubblicazione: (2024)

KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
di: Yang, Chenyuan, et al.
Pubblicazione: (2023)

Large Language Model assisted Hybrid Fuzzing
di: Meng, Ruijie, et al.
Pubblicazione: (2024)

PILOT: Command-line Interface Fuzzing via Path-Guided, Iterative Large Language Model Prompting
di: Shiraishi, Momoko, et al.
Pubblicazione: (2025)

On the (In)Security of LLM App Stores
di: Hou, Xinyi, et al.
Pubblicazione: (2024)

LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
di: Liu, Bin, et al.
Pubblicazione: (2025)

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics
di: Zhou, Shide, et al.
Pubblicazione: (2025)

Demystifying Cookie Sharing Risks in WebView-based Mobile App-in-app Ecosystems
di: Zhang, Miao, et al.
Pubblicazione: (2025)

Logic Solver Guided Directed Fuzzing for Hardware Designs
di: Saravanan, Raghul, et al.
Pubblicazione: (2025)

SMCP: Secure Model Context Protocol
di: Hou, Xinyi, et al.
Pubblicazione: (2026)

ReFuzz: Reusing Tests for Processor Fuzzing with Contextual Bandits
di: Chen, Chen, et al.
Pubblicazione: (2025)

EmbedFuzz: High Speed Fuzzing Through Transplantation
di: Hofhammer, Florian, et al.
Pubblicazione: (2024)

AFLGopher: Accelerating Directed Fuzzing via Feasibility-Aware Guidance
di: Bai, Weiheng, et al.
Pubblicazione: (2025)

SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
di: Weissberg, Felix, et al.
Pubblicazione: (2025)

Fuzz on the Beach: Fuzzing Solana Smart Contracts
di: Smolka, Sven, et al.
Pubblicazione: (2023)

GoldenFuzz: Generative Golden Reference Hardware Fuzzing
di: Wu, Lichao, et al.
Pubblicazione: (2025)

"Elementary, My Dear Watson." Detecting Malicious Skills via Neuro-Symbolic Reasoning across Heterogeneous Artifacts
di: Wang, Shenao, et al.
Pubblicazione: (2026)